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Core-AI

Private AI for Engineering Firms

Table of Contents
Your drawings, specs, and proposals carry client IP and competitive-sensitive detail that most industries never have to think about protecting. Core-AI builds private AI systems for Montreal engineering firms that search project archives, reuse past proposals, and accelerate technical documentation — without a single drawing leaving your network.
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Why This Is Different for an Engineering Firm
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Most AI vendors sell the same document chatbot to every industry. That ignores what’s actually in an engineering firm’s archive: drawings and specifications that embody a client’s intellectual property, contracts that carry explicit confidentiality clauses, and years of proposal and scoping language that is itself a competitive asset — not something you want indexed by whichever cloud AI happens to be convenient.

Core-AI’s answer is architectural, not contractual: the system runs on your infrastructure, so client IP and project records never reach a third party unless you decide, for a specific case, that they should. What’s left is ordinary engineering judgment about a given project — not a standing question about whether your AI vendor can be trusted with the last ten years of your work.

IP & Client Confidentiality

Client IP embedded in drawings and specs stays inside your network — the standing confidentiality-clause question goes away.

Drawing & Spec Archives

Search years of drawings, specs, and technical documentation by concept, not just filename — without exporting them anywhere.

Proposal Reuse

Draw on your own firm's past scoping language and proposals instead of starting each new bid from a blank page.

Data Residency & Law 25

Project files, queries, and the model itself run on infrastructure you control — removing the cross-border question before it starts.

What We Build for Engineering Firms
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  • Searchable drawing and spec archives — retrieval over PDFs, CAD-exported metadata, and technical documentation, tuned to engineering vocabulary rather than generic language.
  • Proposal-reuse assistant — surface relevant past scoping and proposal language automatically when a new bid comes in.
  • Project-records assistant — an internal assistant scoped to a project’s own records, for field and office teams who need an answer, not a document to re-read.
  • Technical document Q&A — accelerate review of specs, standards references, and project correspondence with source-traceable answers.
  • Client intake and IP-safe onboarding — bring a new project’s documents into the system without ever routing them through a third-party API.

Frequently Asked Questions
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Will our drawings, specs, or client data ever leave our network?
No, unless you explicitly choose to route a specific task to an external API for a specific reason. The default architecture keeps documents, embeddings, and the model itself on infrastructure you control — drawings and specifications that carry client IP or competitive-sensitive detail never transit to a third-party provider by default.
How does a private AI system help with Quebec's Law 25?
Law 25 puts real obligations on how your firm handles personal information, including an assessment before that information leaves Quebec. A private system removes most of that question by not sending client or project data anywhere: your files, your queries, and the model itself run on hardware you control. To be clear, no system makes a firm compliant on its own — compliance is broader than any piece of software. What it removes is the hardest part of the conversation: explaining why client project data should cross a border to a third-party provider at all.
Can the system search old projects to help scope and write new proposals?
Yes — this is one of the highest-value use cases we build. A retrieval system indexed over your past proposals, scoping documents, and project records can surface the relevant precedent the moment you start a new one, so proposal writing draws on your firm’s actual history instead of starting from a blank page.
Does the system understand engineering drawings and technical specs, or just text?
We build ingestion pipelines for the formats engineering firms actually use — PDFs of drawings and specs, CAD-exported metadata, project management exports, and technical documentation — not just plain text. Layout-aware parsing and OCR handle scanned and drawn content; retrieval is tuned to technical vocabulary rather than generic language.
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